Triple
T37452481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Echo Park |
E930704
|
entity |
| Predicate | outcomeOfConservationBattle |
P44866
|
FINISHED |
| Object | Echo Park Dam not built |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Echo Park Dam not built | Statement: [Echo Park, outcomeOfConservationBattle, Echo Park Dam not built]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outcomeOfConservationBattle Context triple: [Echo Park, outcomeOfConservationBattle, Echo Park Dam not built]
-
A.
hasConservationOutcome
chosen
Indicates that an entity is associated with a specific result or impact related to conservation efforts or objectives.
-
B.
resultOfBattle
Indicates that one entity is the outcome or consequence produced by a specific battle or combat event involving another entity.
-
C.
resultOfMilitaryCampaign
Indicates that one event, condition, or outcome occurs as a direct consequence of a specified military campaign.
-
D.
outcomeOf
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
E.
partOfConflictOutcome
Indicates that one entity represents a specific component or aspect of the overall outcome of a conflict involving another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.